Dynamic Rename

This node creates a new DataFrame by renaming existing columns with the new name

Input

This type of node takes in a DataFrame and transforms it to another DataFrame.

Output

The specified columns are renamed to have the new names.

Type

pyspark2inputs

Class

fire.nodes.etl.NodeDynamicRename

Fields

Name	Title	Description
currentColNames	Current Column Names	Current Column Names
newColNames	Columns New Name	New name for existing columns
bulkColumnRename	BulkColumnRename
bulkType	Rename Mode	Select Type
prefix	Add Prefix	Prefix Value
suffix	Add Suffix	Suffix Value
remove_prefix	Remove Prefix	Prefix Value
remove_suffix	Remove Suffix	Suffix Value
remove_extra_charcter	Extra Charcter	extra_charcter
replace_pattern	Replace Pattern	regex replace pattern to search
with_pattern_replacement	With Pattern Replacement	regex replacement for matched pattern in Replace Pattern
replace	Replace	replace pattern to search
with_replacement	Replacement	replacement for matched replace
inputMode	Use Positional Rename	Reassign based on row position instead of mapping
oldFieldNameCol	Old Field Name from Column	Select from list of Right input field names . For Positional Rename, leave this empty if ‘Use Positional Rename’ is True.
newFieldNameCol	New Field Name from Column	Select from list of Right input field names
inputCols	Columns To Rename	Columns To Rename
inputColumnPropagation	Enable All Columns To Rename	Enable All Columns To Rename
schema	InferSchema
outputColNames	Column Names of the Table	Output Columns Names of the Table
outputColTypes	Column Types of the Table	Output Column Types of the Table
outputColFormats	Column Formats	Output Column Formats